EV Tracking and Synchronization Control of Dual-Motor Steer-by-Wire System Under Road Disturbances and Parameter Perturbation

Electric vehicle (EV) intelligent driving technology requires steer-by-wire (SBW) system with a high level of control accuracy and reliability. The dual-motor SBW system is characterized by strong redundancy and reliability, which provides a fault-tolerant solution for intelligent driving. However, parameter perturbation, time-varying road disturbances, and inconsistent loads reduce the <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">steer</b>ing accuracy and synchronization of the dual-motor SBW system. To address the above challenges, this paper proposes a composite sliding mode angle and synchronization controller. First, an angle tracking controller based on fast integral terminal sliding mode control and extended state observer (ESO) is developed to improve the stability and steering response speed of the EV with dual-motor SBW system. Then, a super-twisting sliding mode control (STSMC)-based cross-coupled synchronization controller is developed to reduce the torque conflict under the parameter perturbation and inconsistent loads. Furthermore, the stability proof of the proposed control strategy is developed. The verification results show that the proposed control strategy can improve the angle response speed and synchronization of the dual-motor SBW system under the parameters perturbation and disturbances.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Energy Conversion
Published
2025-04-15
DOI
https://doi.org/10.1109/tec.2025.3560271
Citations
1
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EV Tracking and Synchronization Control of Dual-Motor Steer-by-Wire System Under Road Disturbances and Parameter Perturbation

Niaona Zhang, Yanbo Wang, Changhong Jiang, Qiming Wang
1 citations
IEEE Transactions on Energy Conversion
Vehicle Dynamics and Control Systems
0.68
article

EV Tracking and Synchronization Control of Dual-Motor Steer-by-Wire System Under Road Disturbances and Parameter Perturbation

Niaona Zhang, Yanbo Wang, Changhong Jiang, Qiming Wang
article en
1 citations

Abstract

Electric vehicle (EV) intelligent driving technology requires steer-by-wire (SBW) system with a high level of control accuracy and reliability. The dual-motor SBW system is characterized by strong redundancy and reliability, which provides a fault-tolerant solution for intelligent driving. However, parameter perturbation, time-varying road disturbances, and inconsistent loads reduce the <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">steer</b>ing accuracy and synchronization of the dual-motor SBW system. To address the above challenges, this paper proposes a composite sliding mode angle and synchronization controller. First, an angle tracking controller based on fast integral terminal sliding mode control and extended state observer (ESO) is developed to improve the stability and steering response speed of the EV with dual-motor SBW system. Then, a super-twisting sliding mode control (STSMC)-based cross-coupled synchronization controller is developed to reduce the torque conflict under the parameter perturbation and inconsistent loads. Furthermore, the stability proof of the proposed control strategy is developed. The verification results show that the proposed control strategy can improve the angle response speed and synchronization of the dual-motor SBW system under the parameters perturbation and disturbances.

IEEE Transactions on Energy ConversionVol. 40(4)
Changchun University of Technology (CN), Aalborg University (DK)
Climate action
Openalex Percentile: Top 32%
Vehicle Dynamics and Control Systems
0.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EV Tracking and Synchronization Control of Dual-Motor Steer-by-Wire System Under Road Disturbances and Parameter Perturbation — Niaona Zhang, Yanbo Wang, et al. · IEEE Transactions on Energy Conversion (2025) | TGRS Research Map | TGRS